Year: 2020
Type: conference-paper
Abstract: We extend the Yawipa Wiktionary Parser (Wu and Yarowsky, 2020) to extract and normalize translations from etymology glosses, and morphological form-of relations, resulting in 300K unique translations and over 4 million instances of 168 annotated morphological relations.We propose a method to identify typos in translation annotations.Using the extracted morphological data, we develop multilingual neural models for predicting three types of word formationclipping, contraction, and eye dialect-and improve upon a standard attention baseline by using copy attention.
Authors: Winston Wu, David Yarowsky
Institution: Johns Hopkins University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W3114965974